CN112858331A - VR screen detection method and detection system - Google Patents
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8854—Grading and classifying of flaws
- G01N2021/888—Marking defects
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
Abstract
The invention discloses a method and a system for detecting a VR screen, which mainly combine camera detection and human eye detection, wherein when the camera detection is carried out, a detection image of the screen to be detected is obtained, and then whether the detection image has defects or not is judged, if so, the screen to be detected is qualified; if not, marking a defect point in the detection image to form a detection graphic card corresponding to the screen to be detected; and then displaying the detection graphic card on the screen, judging whether the defect point of the detection graphic card is a defect by human eyes, if so, determining that the screen to be detected is unqualified, and otherwise, determining that the screen to be detected is qualified. Therefore, the invention not only utilizes the camera to improve the detection efficiency, but also utilizes the human eye detection to ensure the detection precision.
Description
Technical Field
The invention relates to the technical field of intelligent control, in particular to a detection method and a detection system of a VR screen.
Background
The VR product is through the lens watch screen, and the actual effect is equivalent to through magnifying glass observation screen, therefore the VR product is very high to the requirement of screen, needs screen high resolution and low defect. Therefore, in the production process of VR products, the detection to the screen defect is especially important. The current methods for detecting the screen mainly comprise two methods: one is to place a structure similar to a VR product lens on a screen, and detect the structure through human eye observation; the other method is to directly take a picture of a screen by using an industrial camera and analyze the picture by a computer algorithm for detection.
However, both of these methods have significant disadvantages: when human eyes are detected, due to the fact that the screen resolution is high, the defects are small, the defects are not easy to find, the detection time is long, the human eyes are fatigued when the human eyes are detected for a long time, detection precision is reduced, and the human eyes can be damaged; when the camera is detected, a photo shot by the camera is different from an image observed by human eyes through a lens to a certain extent, and the difference can cause that the camera is detected to be over-killed to a certain extent, so that the manufacturing cost is wasted. Aiming at the defects, the invention provides one.
Disclosure of Invention
Aiming at the defects, the technical problems to be solved by the invention are as follows: the VR screen detection method and the VR screen detection system are provided, human eye detection and camera detection are combined, and detection efficiency and detection accuracy are improved.
In order to solve the technical problems, the technical scheme of the invention is as follows:
a detection method of a VR screen comprises the following steps:
acquiring a detection image of a screen to be detected;
judging whether the detection image has defects or not, if so, marking defect points in the detection image to form a detection graphic card corresponding to the screen to be detected, and if not, judging that the screen to be detected is qualified;
displaying the detection graphic card on a screen to be detected;
judging whether the defect point of the detection graphic card is a defect or not by human eyes;
if so, judging that the screen to be detected is unqualified, and if not, judging that the screen to be detected is qualified.
Preferably, marking the defect points in the detection image and forming a detection graphic card corresponding to the screen to be detected comprises the following steps:
acquiring first position data of a defect point on the detection image;
obtaining second position data of the defect point on the screen according to the position relation of the screen in the detection image;
and forming a detection chart with the defect points.
Preferably, the first position data is coordinates (x) of a defect point on the inspection imagen1,yn1)；
The second position data is the coordinates (x) of the defect point in the screenn2,yn2)；
The screen position relation in the detection image comprises: coordinates (x) of the center of the screen display area in the inspection image0,y0) And the width W and the height H of the screen display area in the detection image;
then, the relationship between the first location data and the second location data is:
wherein: m and N are screen resolutions, M is a screen resolution in a width W direction, N is a screen resolution in a height H direction, N represents an nth defect point, and N is a positive integer.
Preferably, the coordinates (x) are displayed on the detection chartn1,yn1) The center is marked with a defective spot.
Preferably, the detection image is an image when the screen to be detected displays different colors.
A detection system of a VR screen comprises a main control unit, an automatic detection unit and a human eye detection unit, wherein the main control unit is communicated with the screen to be detected; the automatic detection unit is used for judging whether the detection image has defects, if so, the detection image is marked with defect points to form a detection graphic card corresponding to the screen to be detected. If not, judging that the screen to be detected is qualified; the main control unit is used for transmitting the detection graphic card to a screen to be detected, and the screen to be detected displays the detection graphic card; the human eye detection unit comprises a profiling lens arranged in front of the screen to be detected.
Preferably, the automatic detection unit comprises an image detection unit and a detection card generation unit; the image detection unit is used for judging whether defect points exist on a detection image or not, if so, corresponding electric signals are transmitted to the detection card generation unit, and if not, the screen to be detected is judged to be qualified; the detection card generating unit is used for acquiring first position data of the defect point on the detection image, acquiring second position data of the defect point on the screen according to the position relation of the screen in the detection image, and forming the detection card with the defect point according to the second position data.
Preferably, the detection card further comprises a defect point marking unit electrically connected with the main control unit, wherein the defect point marking unit is used for marking defect points on the detection card.
Preferably, the system further comprises a presetting unit electrically connected with the main control unit, and the presetting unit is used for presetting the position relation and the screen resolution of the screen in the detection image.
After the technical scheme is adopted, the invention has the beneficial effects that:
the VR screen detection method and the VR screen detection system are mainly characterized in that camera detection and human eye detection are combined, when the camera is detected, a detection image of a screen to be detected is obtained, and then whether the detection image has defects or not is judged, if not, the screen to be detected is qualified; if so, marking a defect point in the detection image to form a detection graphic card corresponding to the screen to be detected; and then displaying the detection graphic card on the screen, judging whether the defect point of the detection graphic card is a defect by human eyes, wherein if the defect point is the defect, the screen to be detected is unqualified, otherwise, the screen to be detected is qualified. Therefore, the invention not only utilizes the camera to improve the detection efficiency, but also utilizes the human eye detection to ensure the detection precision.
Drawings
FIG. 1 is a schematic flow chart of a VR screen detection method of the present invention;
FIG. 2 is a schematic illustration of a conversion of a test image into a test card;
fig. 3 is a functional block diagram of a detection system for the inventive VR screen.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The first embodiment is as follows:
as shown in fig. 1 and 2, a method for detecting a VR screen includes the steps of:
s1, acquiring a detection image of the screen to be detected; in this example, the detected image is an image displayed on a screen to be inspected, and the image may be an image displayed on the screen in different colors, such as red, green, blue, black, white, and the like, or an image captured by a camera when different images are displayed.
S2, judging whether the detected image has defects; the defect may be one or more defects, such as a point in the detected image being of an incorrect color or a point being of an unlighted color.
S3, if no defect point exists, the screen to be detected is qualified, and the flow is switched to the next procedure; if the defect points exist, marking the defect points in the detection image to form a detection graphic card corresponding to the screen to be detected;
s4, displaying a detection graphic card on a screen to be detected;
s5, judging whether the defect point of the detection chart is a defect by human eyes;
and S6, if the defect point is a defect, the screen to be detected is unqualified, otherwise, the screen to be detected is qualified.
By adopting the method, a plurality of detection images of the screen to be detected are obtained by the camera, each detection image is rapidly detected, so that a qualified screen is rapidly detected, a defective detection image is rapidly detected, a detection graphic card corresponding to the screen to be detected is formed, the screen to be detected displays the detection graphic card, whether a defective point is a defect or not is rapidly judged by using a human eye detection mode, only the detection graphic card with the defective point is detected, the number of human eye detection is reduced, and the efficiency and the detection precision are improved. Therefore, the invention not only utilizes the camera to improve the detection efficiency, but also utilizes the human eye detection to ensure the detection precision.
As shown in fig. 2, in this example S3, if any, the defect points are marked in the inspection image to form an inspection chart corresponding to the screen to be inspected, including the following steps:
acquiring first position data of a defect point on a detection image;
obtaining second position data of the defect point on the screen according to the position relation of the screen in the detection image;
the detection chart with the defect points is formed, the information on the detection chart further comprises colors, for example, when the screen displays green, a detection image shot by a camera is converted into the detection chart, and the detection chart is also green.
Wherein the first position data is the coordinate (x) of the defect point on the detection imagen1,yn1)；
Wherein the second position data is the coordinates (x) of the defect point in the screenn2,yn2)；
Wherein, the screen includes the following position relation in the detection image: coordinates (x) of the center of the screen display area in the inspection image0,y0) And the width W and the height H of the screen display area in the detection image;
then, the relationship between the first location data and the second location data is:
wherein: m and N are screen resolutions, M is a screen resolution in a width W direction, N is a screen resolution in a height H direction, N represents an nth defect point, and N is a positive integer.
Using the above relationship, the coordinates (x) of the defective point in the image will be detectedn1,yn1) Converted into coordinates (x) when displayed on the screen to be inspectedn2,yn2)。
On the test chart with the coordinates (x)n1,yn1) The center mark defect point is marked by a circle, a rectangular circle and the like in the example by adopting a circling mode, and the position can be conveniently and quickly identified by human eyes.
When human eyes are detected, the circle can be found quickly, and the defect point in the circle is detected. Through the mode, the defect points on the detected image are converted to the screen, secondary detection is carried out by human eyes, and the detection precision is improved.
Compared with the prior art, the invention has the following advantages:
1. all detection images (at least 7 detection images) are required to be detected in the original human eye blind detection, the method can detect only the pictures with defects detected by a camera detection screen, 2 detection image cards are averaged, and the detection time can be reduced by 70%;
2. the defects are marked, so that the defects are easy to find, accurate to detect and difficult to miss detection.
Example two:
as shown in fig. 3, a detection system for a VR screen includes a main control unit communicating with a screen to be detected, an automatic detection unit electrically connected to the main control unit, and a human eye detection unit. The automatic detection unit is used for judging whether the detected image has defects or not, and if not, the screen to be detected is qualified; if so, marking a defect point in the detection image to form a detection graphic card corresponding to the screen to be detected; the main control unit is used for transmitting the detection graphic card to a screen to be detected, and the screen to be detected displays the detection graphic card; wherein, people's eye detecting element is including establishing the profile modeling lens in waiting to examine screen place ahead.
In this example, the automatic detection unit includes an image detection unit and a detection card generation unit; the image detection unit is used for judging whether a defect point exists on a detection image, if not, the screen to be detected is qualified, and if so, a corresponding electric signal is transmitted to the detection card generation unit; the detection card generating unit is used for acquiring first position data of the defect point on the detection image, acquiring second position data of the defect point on the screen according to the position relation of the screen in the detection image, and forming the detection card with the defect point according to the second position data.
Wherein the first position data is a coordinate (x) of the defective point on the inspection imagen1,yn1)；
Wherein the second position data is the coordinates (x) of the defect point in the screenn2,yn2)；
Wherein the screen includes, in the detected image, a positional relationship: coordinates (x) of the center of the screen display area in the inspection image0,y0) And the width W and the height H of the screen display area in the detection image;
then, the relationship between the first location data and the second location data is:
wherein: m and N are screen resolutions, M is a screen resolution in a width W direction, N is a screen resolution in a height H direction, N represents an nth defect point, and N is a positive integer.
Using the above relationship, the coordinates (x) of the defective point in the image will be detectedn1,yn1) Converted into coordinates (x) when displayed on the screen to be inspectedn2,yn2)。
And converting the defect point on the detection image to the detection chart by using the coordinate conversion relation, namely converting the position of the defect point on the detection image to the position of the screen.
As shown in FIG. 2, the electronic device further comprises a defect point mark electrically connected with the main control unitA unit for marking defect points on the detection card, such as a circle, in particular a defect point (x)n1,yn1) A circle, a rectangular circle, etc. is drawn for the center.
The system also comprises a preset unit electrically connected with the main control unit, wherein the preset unit is used for presetting the position relation and the screen resolution of the screen in the detected image.
The detection system of the invention has the functions of camera detection and human eye detection, when in detection, the screen displays different colors or images, the camera shoots detection images under different conditions, the detection images are transmitted to the image detection unit, the image detection unit judges whether the detection images have defects according to preset detection parameters, whether the detection images have defects or not and are judged to be qualified products if no defects exist, the detection images with defects are converted into corresponding electric signals and transmitted to the detection card generation unit, the detection card generation unit analyzes the defects on the detection images, converts the positions of the defects into the positions on the screen to be detected, namely, forms the detection graphic card with the defects, transmits the detection graphic card to the main control unit, the main control unit starts the defect point marking unit again, circles the defects on the detection graphic card and then transmits the detection graphic card to the main control unit, and finally transmits the detection graphic card with the defects to the screen to be detected, and displaying the detection graphic card on a screen to be detected, and rechecking the detection graphic card by human eyes.
The method for detecting whether the image is defective by the camera comprises the following steps: the image detection unit carries out preprocessing (image processing algorithms such as Fourier transform, median filtering, binaryzation and the like) on the detected image, and roughly positions all abnormal positions in the detected image; and judging whether each abnormal position in the detected image meets the specification or not according to the gray scale and the size of the abnormal position, judging whether the abnormal position meets the specification or not, judging whether the abnormal position does not meet the specification or not, and outputting the position of the defect.
When human eyes are detected, the positions of the defect points can be quickly found by detecting the circles on the graphic card, the detection efficiency is improved, and the detection result is obtained after the human eyes judge.
The invention combines automatic detection and human eye detection, thereby not only improving the detection efficiency, but also ensuring the detection precision.
The above-described preferred embodiments of the present invention are not intended to limit the present invention, and any modifications, equivalent to the detection method and the detection system of the VR screen, which are made within the spirit and principle of the present invention, should be included in the protection scope of the present invention.
Claims (9)
1. A detection method of a VR screen is characterized by comprising the following steps:
acquiring a detection image of a screen to be detected;
judging whether the detection image has defects or not, if so, marking defect points in the detection image and forming a detection graphic card corresponding to the screen to be detected, and if not, judging that the screen to be detected is qualified;
displaying the detection graphic card on a screen to be detected;
human eyes judge whether the defect point of the detection chart is a defect or not,
if so, judging that the screen to be detected is unqualified, and if not, judging that the screen to be detected is qualified.
2. The method for detecting the VR screen of claim 1, wherein the step of marking the defect points in the detection image and forming the detection chart corresponding to the screen to be detected comprises the following steps:
acquiring first position data of a defect point on the detection image;
obtaining second position data of the defect point on the screen according to the position relation of the screen in the detection image;
and forming a detection chart with the defect points.
3. The method of detecting a VR screen of claim 2,
the first position data is coordinates (x) of a defective point on the inspection imagen1,yn1)；
The second position data is the coordinates (x) of the defect point in the screenn2,yn2)；
The above-mentionedThe position relation of the screen in the detection image comprises the following steps: coordinates (x) of the center of the screen display area in the inspection image0,y0) And the width W and the height H of the screen display area in the detection image;
then, the relationship between the first location data and the second location data is:
wherein: m and N are screen resolutions, M is a screen resolution in a width W direction, N is a screen resolution in a height H direction, N represents an nth defect point, and N is a positive integer.
4. The method of detecting a VR screen of claim 3, wherein the coordinates (x) are on the detection cardn1,yn1) The center is marked with a defective spot.
5. The method for detecting the VR screen of any one of claims 1 to 4, wherein the detected image is an image of the screen to be detected displaying different colors.
6. A detection system of a VR screen is characterized by comprising a main control unit, an automatic detection unit and a human eye detection unit, wherein the main control unit is communicated with the screen to be detected;
the automatic detection unit is used for judging whether the detection image has defects or not, if so, marking defect points in the detection image to form a detection graphic card corresponding to the screen to be detected, and if not, judging that the screen to be detected is qualified;
the main control unit is used for transmitting the detection graphic card to a screen to be detected, and the screen to be detected displays the detection graphic card;
the human eye detection unit comprises a profiling lens arranged in front of the screen to be detected.
7. The detection system for the VR screen of claim 6, wherein the automatic detection unit includes an image detection unit and a detection card generation unit;
the image detection unit is used for judging whether defect points exist on a detection image or not, if so, corresponding electric signals are transmitted to the detection card generation unit, and if not, the screen to be detected is judged to be qualified;
the detection card generating unit is used for acquiring first position data of the defect point on the detection image, acquiring second position data of the defect point on the screen according to the position relation of the screen in the detection image, and forming the detection card with the defect point according to the second position data.
8. The detection system for the VR screen of claim 7, further comprising a defect point marking unit electrically connected to the main control unit, the defect point marking unit being configured to mark defect points on the detection card.
9. The VR screen detection system of claim 7, further comprising a presetting unit electrically connected to the main control unit, and configured to preset a screen position relationship and a screen resolution in the detected image.
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| CN113607740A (en) * | 2021-07-30 | 2021-11-05 | 歌尔光学科技有限公司 | VR product contamination detection method and device |
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